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Mechanistic models of signaling pathways deconvolute the glioblastoma single-cell functional landscape
2020
NAR Cancer
Single-cell RNA sequencing is revealing an unexpectedly large degree of heterogeneity in gene expression levels across cell populations. However, little is known on the functional consequences of this heterogeneity and the contribution of individual cell fate decisions to the collective behavior of the tissues these cells are part of. Here, we use mechanistic modeling of signaling circuits, which reveals a complex functional landscape at single-cell level. Different clusters of neoplastic
doi:10.1093/narcan/zcaa011
fatcat:6kbtq2ztx5fcpd2lfmsmxohita